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On the Discovery of Interesting Patterns in Association Rules

Summary: Introduces calendar algebra to express temporal patterns in association rules and defines calendric rules aligned to user time expressions. Proposes discovery algorithms and optimizations, with results showing 5%-250% speedups over naive approaches. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
8694
Venue
VLDB
Year
1998
Pagerank
5.7187358e-05
Overall Rank
7,044 | 51.68%
DOI
-

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{ramaswamy_vldb98,
        title = {{On the Discovery of Interesting Patterns in Association Rules}},
        author = {Ramaswamy, Sridhar and Mahajan, Sameer and Silberschatz, Avi},
        journal = {PVLDB},
        series = {{VLDB} '98},
        pages = {368--379},
        year = {1998}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
4,969 Optimization of Constrained Frequent Set Queries with 2-variable Constraints 1999 SIGMOD 6.4201643e-05
12,715 Mining Frequent Closed Cubes in 3D Datasets 2006 VLDB 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 7 of 7 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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